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Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter10: Statistics

Section10.3: Measures Of Spread

Problem 1GP

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Suppose an analyst would like to use the beta distribution to simulate
the processing time of an activity. No field data are available for a
goodness-of-fit test, but the analyst was told that the most likely
processing time is 18.6 min, with a minimum of 10 min and a maximum
of 20 min. It is also known that the average time is 17.8 min. With this
information, the analyst can estimate the value of the shape
parameters as follows:
απ
(x-a)(2c-a-b)
β
ẞ= a(b-x)
(c-x)(b-a)
(x-a)

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The average time period that spouses survive after the death of their partner is said to be greater for widows than for widowers. A sociologist who wishes to evaluate such claim obtained survival data (in years) following the death of a spouse on randomly selected 10 widows and 8 widowers. Software Output: Shapiro-Wilk TestFor Widows: data: survival p-value = 0.57For Widowers: data: survival p-value = 0.98Levene’s Test for Homogeneity of Variance p-value = 0.98 What is the most appropriate test procedure to test the claim? a. Z-test b. Pooled t-test c. Non-pooled t-test d. Mann-Whitney Test
A researcher would like to determine whether a new tax on cigarettes has had any effect on people's behavior. During the year before the tax was imposed, stores located in rest areas on the state thruway reported selling an average of = 410 packs per day with o = 50. The distribution of daily sales was approximately normal. For a sample of n = 16 days following the new tax, the researcher found an average of M = 366 packs per day for the same stores. %3D %3D a. Is the sample mean sufficient to conclude that there was a significant change in cigarette purchases after the new tax. Use a two-tailed test with a = .05. b. If the population standard deviation was o = 30, is the result sufficient to conclude that there is a significant difference? c. Explain why the two tests lead to different outcomes. %3D
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Asset W has expected return of 11.6% and a beta of 1.23. If the risk free rate is 3.15%, complete the following table for portfolios of asset W, and a risk free asset. Illustrate the relationship between portfolio, expected return and portfolio beta by plotting the expected returns against the betas in a graph. What is the slope of the line that results? Results are in the table I just need the excel graph!!!! Percentage of portfolio asset in W. Portfolio expected return. Portfolio beta. 0% = (0 x 0.116) + (1 x 0.0315) = 3.15% 0 25% = (0.25 x 0.116) + (0.75 x 0.0315) = 5.26% = 1.23 x 0.25 = 0.3075 50% = (0.50 x 0.116) + (0.50 x 0.0315) = 7.37% = 1.23 x 0.50 = 0.615 75% = (0.75 x 0.116) + (0.25 x 0.0315) = 9.48% = 1.23 x 0.75 = 0.9225 100% = (1 x 0.116) + (0 x 0.0315) = 11.6% = 1.23 x 1 = 1.23 125% = (1.25 x 0.116) + (-0.25 x 0.0315) = 13.71% = 1.23 x 1.25 = 1.5375 150% = (1.50 x 0.116) + (-0.50 x 0.0315) = 15.82% = 1.23 x…
The Cadet is a popular model of sport utility vehicle, known for its relatively high resale value. The bivariate data given below were taken from a sample of sixteen Cadets, each bought "new" two years ago and each sold "used" within the past month. For each Cadet in the sample, we have listed both the mileage, x (in thousands), that the Cadet had on its odometer at the time it was sold used, and the price, y (in thousands of dollars), at which the Cadet was sold used. These data are shown graphically in the scatter plot in Figure 1. Also given is the product of the mileage and the used selling price for each of the sixteen Cadets. (These products, written in the column labelled "xy", may aid in calculations.) Mileage, x (in thousands) 20.8 23.3 29.6 38.8 34.4 24.0 23.7 26.0 28.0 15.2 26.7 22.8 21.0 27.9 37.8 24.4 Used selling price, y (in thousands of dollars) 31.8 33.1 28.3 21.3 26.0 27.8 27.2 27.9 29.9 33.6 31.6 31.9 31.2 25.9 23.7 30.1 Send data to calculator xy 661.44 771.23…
The Cadet is a popular model of sport utility vehicle, known for its relatively high resale value. The bivariate data given below were taken from a sample of sixteen Cadets, each bought "new" two years ago and each sold "used" within the past month. For each Cadet in the sample, we have listed both the mileage, x (in thousands), that the Cadet had on its odometer at the time it was sold used, and the price, y (in thousands of dollars), at which the Cadet was sold used. These data are shown graphically in the scatter plot in Figure 1. Also given is the product of the mileage and the used selling price for each of the sixteen Cadets. (These products, written in the column labelled "xy", may aid in calculations.)

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